I'm a Data Science & Engineering student at Universidade da Coruña. I worked as Research Assistant at the Inditex-UDC AI Chair in Green Algorithms (until March 2026), where I developed feature-selection systems for AI models. I've also worked as an AI Engineer at Gradiant, building computer vision pipelines for car damage detection.
My stack spans the full data lifecycle — from HPC and parallel computing (C/C++, CUDA, MPI) to deep learning (PyTorch, TensorFlow), data engineering (Spark, SQL, Docker, AWS/GCP), and NLP/Computer Vision.
CV2nd Prize at GDG Challenge (Impacthon 2026). Web portal for protein structure prediction via AlphaFold2 without HPC expertise, featuring interactive 3D visualization (Mol*), PAE heatmaps and pLDDT confidence coloring. Multi-agent A2A system with 4 specialist agents powered by Gemini 2.5 Flash, deployed on Google Cloud Run.
Check out more of my work on GitHub
GitHub ProfileOn March 1, 2026, we presented our project at HackUDC for the InditexTech challenge. Following a stellar presentation before the Inditex team and GPUL, we were honored with the 1st Prize for Best Use of Open Source AI and the 2nd Prize in the Inditex-Tech Challenge.
In April 2026, we competed at the GDG Challenge (Impacthon 2026) with LocalFold — a web platform for protein structure prediction using AlphaFold2, a multi-agent A2A system powered by Gemini 2.5 Flash, and deployment on Google Cloud Run. We were awarded 2nd Prize.
Interested in collaborating or just want to say hi?
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